執行DecisionTree.fit!(model, features, labels)出現boundserror如何解決
2020/05/06 03:02 PM
Julia程式語言論壇
Casey Lin
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decision tree
df=biopsy[!, 2:6]
df=dropmissing(df)
labels=Vector{String}(biopsy[!, :Class])
features=Matrix(df)
model = DecisionTree.RandomForestClassifier(n_trees=50, max_depth=2)
DecisionTree.fit!(model, features, labels) 執行OK
若改為 df=biopsy[!, 2:10]
DecisionTree.fit!(model, features, labels) 執行, 會有 boundserror
TaskFailedException:
BoundsError: attempt to access 683×9 Array{Int32,2} at index [[194, 460, 217, 16, 479, 502, 518, 202, 613, 524, 607, 615, 256, 554, 291, 590, 5
但在 atom IDE REPL 又OK, 可以請問原因?